Associate Engineer Data

Toronto, ON, Canada

Job Description


:ZS is a place where passion changes lives. As a management consulting and technology firm focused on transforming global healthcare and beyond, our most valuable asset is our people. Here you\xe2\x80\x99ll work side-by-side with a powerful collective of thinkers and experts shaping life changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop products that create value and deliver company results across critical areas of their business including portfolio strategy, customer insights, research and development, operational and technology transformation, marketing strategy and many more. Bring your curiosity for learning; bold ideas; courage and passion to drive life changing, impact to ZS.Our most valuable asset is our people.
At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems\xe2\x80\x94the ones that comprise us as individuals, shape who we are and
make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about.Associate Engineer \xe2\x80\x93 DataOverviewThe Data Engineer is a critical member of the engineering team, responsible for designing, building, and maintaining robust data systems and infrastructure. This role focuses on enabling efficient data processing, collection, storage, and analysis at scale to support data-driven decision-making and operational optimization.ResponsibilitiesData Engineering:

  • Build, Orchestrate and optimize data pipelines to extract, transform, and load (ETL) data from various sources into the organization\'s data warehouse or data lake.
  • Integrate data from diverse sources such as databases, APIs, streaming platforms, and file systems into cohesive data pipelines
  • Implement data integration solutions that support real-time, batch, and incremental data processing.
  • Implement data quality checks and validation processes to ensure the accuracy, completeness, and consistency of data.
  • Develop and maintain high-performance data pipelines that seamlessly integrate data from various sources into data warehouses, data lakes, and other storage solutions.
  • Develop monitoring and alerting mechanisms to identify and address data quality issues proactively.
  • Optimize ETL (Extract, Transform, Load) processes for efficiency, reliability, and data quality.
  • Implement and manage data storage solutions, including relational databases, NoSQL databases, and distributed file systems.
  • Manage the infrastructure and resources required to support data engineering workflows, including compute clusters, storage systems, and data processing frameworks.
  • Implement security controls and data governance measures for an application to protect sensitive data and ensure compliance with regulatory requirements such as GDPR, CCPA, HIPAA, and PCI-DSS. Implement encryption, access controls, and auditing mechanisms to safeguard data privacy and integrity.
Data Engineering Best Practices:
  • Write production-ready, testable code that adheres to engineering best practices and accounts for edge cases and error handling.
  • Develop comprehensive unit tests and integration tests to validate data pipeline functionality and data integrity.
  • Stay up to date with the latest data engineering tools, technologies, and methodologies, and evaluate their applicability to the team\'s needs.
Technical Collaboration:
  • Collaborate with business analysts, and other stakeholders to understand data requirements and translate them into robust engineering solutions.
  • Work closely with other engineering teams to integrate data solutions seamlessly into the overall technology ecosystem.
  • Participate actively in agile ceremonies, communicate progress, and manage dependencies effectively.
Education / Skills / Experience Education: A relevant bachelor\xe2\x80\x99s or master\xe2\x80\x99s degree in computer science, Data Engineering, or a related technical field.Technical Skills:
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Extensive experience with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud-based data platforms (e.g., AWS, Azure).
  • Expertise in data integration and ETL tools (e.g., Talend, Informatica, Apache NiFi).
  • Strong understanding of data warehousing, and data lake concepts and best practices.
  • Familiarity with CI/CD pipelines and application monitoring practices.
  • Certifications in data engineering (e.g., Azure Data Engineer, AWS Certified Data Engineer) are a plus.
Experience:
  • 1-3 years of experience in a data engineering role, with a focus on building scalable, reliable, and high-performance data systems.
  • Proven track record of designing and implementing data pipelines, data storage solutions, and data processing workflows.
  • Hands-on experience with distributed computing frameworks and cloud-based data services.
  • Demonstrated ability to collaborate with cross-functional teams and communicate technical solutions effectively.
  • Ability to travel to other client offices or locations as needed.
  • Strong communications skills.
Perks & Benefits:
ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member.We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.Considering applying?
At ZS, we\'re building a diverse and inclusive company where people bring their passions to inspire life-changing impact in global healthcare and beyond. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don\'t meet 100% of the requirements listed above.ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.To Complete Your Application:
Candidates must possess or be able to obtain work authorization for their intended country of employment.ZS is committed to providing and maintaining a safe workplace. Must have received full COVID-19 vaccination by date of hire to be considered. Proof of vaccination will be required upon acceptance of offer of employment. Exemption process available on a limited basis.NO AGENCY CALLS, PLEASE.Find Out More At:
www.zs.com

ZS Associates

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Job Detail

  • Job Id
    JD2312238
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Toronto, ON, Canada
  • Education
    Not mentioned